Shear strength estimation of plastic clays with statistical and neural approaches

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dc.contributor.authorGöktepe, A. Burak
dc.contributor.authorAltun, Selim
dc.contributor.authorAltıntaş, Gökhan
dc.contributor.authorTan, Özcan
dc.date.accessioned2020-03-26T17:27:45Z
dc.date.available2020-03-26T17:27:45Z
dc.date.issued2008
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractBecause shear strength parameters highly influence the bearing capacity of soils, several researchers have carried out large number of experimental and theoretical studies aimed at understanding soil strength behaviors. Within this context, the determination of correlations between soil index properties and shear strength parameters for specific soil types is possible. The aim of this study is to observe the performance of statistical and artificial neural network (ANN)-based methods on establishing correlations between index properties and shear strength parameters of normally consolidated plastic clays. To collect modeling data, consolidated-undrained triaxial tests were performed oil normally consolidated plastic clays obtained from the same region. Additionally, detailed statistical analyses were conducted on the test data. Results indicate that the ANN-based model is superior in determining the relationships between index properties and shear strength parameters. However, in order to get appropriate outcomes, specific care must be dedicated when applying ANN-based correlation models. (C) 2007 Elsevier Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.buildenv.2007.01.022en_US
dc.identifier.endpage860en_US
dc.identifier.issn0360-1323en_US
dc.identifier.issue5en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage849en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.buildenv.2007.01.022
dc.identifier.urihttps://hdl.handle.net/20.500.12395/22638
dc.identifier.volume43en_US
dc.identifier.wosWOS:000253015400017en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPERGAMON-ELSEVIER SCIENCE LTDen_US
dc.relation.ispartofBUILDING AND ENVIRONMENTen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.titleShear strength estimation of plastic clays with statistical and neural approachesen_US
dc.typeArticleen_US

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